出版專著：
[1] Yang Y.（2016）：Temporal Data Mining via Unsupervised Ensemble Learning, Elsevier, ISBN: 9780128116548.
[2] Yang Y. and Chen K. (2007): Combining competitive learning networks of various representations for sequential data clustering, Trends in Neural Computation (Chapter 13, pp. 315-336), Springer， ISBN:3540361219
[3] 楊云, 楊成榮, 郭競, 杜飛, 汪佩 著(2024): 人工智能導論, 科學出版社, ISBN:9787030805165.
[4] 楊云, 王碩, 郭競, 杜飛, 汪佩 著(2024): 集成學習及其在動態數據挖掘中的應用, 科學出版社, ISBN:9787030791931.
[5] 楊云，杜飛 著 (2018)：深度學習實戰，清華大學出版社，ISBN: 9787302491026.
代表論文 （部分）
[1] Liu B., Yang C., Guo J. and Yang Y.* (2024). A Novel Semi-Supervised Object Detection Approach via Scale ReBalancing and Global Proposal Contrast Consistency. IEEE Transactions on Circuits and Systems for Video Technology. Online (SCI JCR一區 中科院一區top 期刊 IF: 8.3)
[2] Zhou M., Wang X., Liu T., Yang Y.* and Yang P.* (2024). Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Transactions on Knowledge and Data Engineering. online (SCI JCR 一區 CCF推薦期刊A類 IF: 8.9)
[3] Yang C., Jin Q., Wang Y., Zhou Y., and Yang Y.* (2024). EHAPZero: Ensemble Hierarchical Attribute Prompting Based Zero-Shot Learning for Pest Recognition. IEEE Internet of Things Journal. Online (SCI JCR一區 中科院一區Top期刊 IF: 8.2)
[4] Wang P., Yang Y.*, Xia Y., Wang K., Zhang X. and Wang S. (2023): Information Maximizing Adaptation Network with Label Distribution Priors for Unsupervised Domain Adaptation, IEEE Transactions on Multimedia，，25，6026-6039. (SCI JCR一區 中科院一區top 期刊 IF: 7.3)
[5] Du F., Yang Y.*, Zhao Z., Zeng Z. (2023): Efficient Perturbation Inference and Expandable Network for Continual Learning, Neural Networks, 159：97-106（SCI中科院一區top 期刊 IF: 9.657）
[6] Yang Y.，Hu Y., Zhang X., Wang S. (2022): Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification, IEEE Transactions on Cybernetics, 52（9）：9194-9207（SCI中科院一區top 期刊 IF: 19.118）
[7] Zhang S., Bi G., Qi J., Yang Y.*, Kong X., Nan F., Zhou M. and Yang P. (2022): Privacy-Preserving enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application, IEEE Internet of Things Journal，，10（8），6742-6755. (SCI JCR一區 中科院一區top 期刊 IF: 10.6)
[8] Yang Y., Rao Y., Yu M., Kang Y. (2022): Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation, Neural Networks, 146：1-10（SCI中科院一區top 期刊 IF: 9.657）
[9] Nan F., Li S., Wang J., Tang Y., Qi J., Zhou M., Zhao Z., Yang Y., Yang P. (2022): A Multi-classification Accessment framework for reproducible evaluation of multimodal learning in Alzheimer's disease. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21（4）559-572. （SCI JCR一區, CCF推薦期刊B類, IF: 4.5）
[10] Yang Y.，Nan F., Yang P. (2021): Effective Multilayer Hybrid Classification Approach for Automatic Bridge Health Assessment on Large-scale Uncertain Data, Journal of Industrial Information Integration, 24: 100234 （SCI JCR一區 中科院一區top 期刊 IF: 15.7）
[11] Yang Y.，Guo J., Ye Q., Xia Y., Yang P., Ullah A., Muhammade K. (2021): A Weighted Multi-Feature Transfer Learning Framework for Intelligent Medical Decision Making, Applied Soft Computing, 105: 107242（SCI JCR一區 中科院一區top 期刊 IF: 8.7）
[12] Yang Y., Guo J., Wang P., Wang Y., Yu M., Wang X., Yang P., Sun L. (2021): Reservoir Hosts Prediction for COVID-19 by Hybrid Transfer Learning Model, Journal of Biomedical Informatics, online（SCI JCR一區 IF: 6.317）
[13] Nan F., Tang Y., Yang P. He Z., Yang Y.*(2021): A Novel Sub-kmeans based on Co-training Approach by Transforming Single-view into Multi-view, Future Generation Computer Systems，online（SCI JCR一區 中科院一區top 期刊 IF: 7.187）
[14] Li J.，Liu T., Wang J., Li Q., Ning C., Yang Y.* (2021): MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease Association Prediction, Artificial Intelligence in Medicine, online（SCI JCR一區 IF: 5.326）
[15] Xie C., Xiang H., Zeng T., Yang Y.*, Yu B., Liu Q. (2021): Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization, Neural Networks, 139: 168-178（SCI中科院一區top 期刊 IF: 9.657）
[16] Xie C., Zeng T., Xiang H., Li K., Yang Y.*, Liu Q. (2021): Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification, Computer Vision and Image Understanding, online （SCI JCR一區 IF: 3.876）
[17] Zhang D., Xia X., Yang Y.*, Yang P., Xie C., Cui M., Liu Q. (2021): Novel Word Similarity Measure Method for IoT-enabled Healthcare Applications, Future Generation Computer Systems, 114：209-218,(SCI JCR一區 中科院一區top 期刊 IF: 7.187)
[18]Xie C., Yu B., Zeng Z., Yang Y*, Liu Q. (2021)：Multi-Layer Internet of Things Middleware based on Knowledge Graph，IEEE Internet of Things Journal，8(4): 2635 - 2648 (SCI JCR一區 中科院一區top 期刊 IF: 10.6)
[19]Xia Y., Chen K., Yang Y.* (2020): Multi-Label Classification with Weighted Classifier Selection and Stacked Ensemble, Information Sciences, 557: 421-442, （SCI中科院一區top 期刊 IF: 8.233）
[20]Cheng F., Wang C., Zhang X., Yang Y. (2020)：A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-scale Complex Networks，IEEE/ACM Transactions on Networking，online (SCI JCR一區 IF: 3.560)
[21]Yang P., Qi J., Newcombe L., Peng X., Yang Y., Zhao Z.(2020): Examining Data Fusion Techniques for Internet of Things enabled Physical Activity Recognition and Measure: A Systematic Survey, Information Fusion，55：268-280（（SCI JCR一區 中科院一區top 期刊 IF: 18.6）
[22]Yang Y., Li X., Wang P., Xia Y., Ye Q.(2020): Multi-Source Transfer Learning via Ensemble Approach for Initial Diagnosis of Alzheimer's Disease, IEEE Journal of Translational Engineering in Health and Medicine, 8: **, （SCI JCR二區 IF: 3.316）
[23]Lee S., Tseng C., Lin G., Yang Y.*, Yang P., Muhammad K., Pandeye H. (2020): A Dimension-Reduction Based Multilayer Perception Method for Supporting the Medical Decision Making, Pattern Recognition Letter, 131：15-22 (SCI JCR一區 IF: 3.756)
[24]Yang Y. and Jiang J. (2019): Adaptive Bi-weighting towards Automatic Initialization and Model Selection for HMM-based Hybrid Meta-clustering Ensembles, IEEE Transactions on Cybernetics, 49(5):1657-1668 （SCI 中科院一區top 期刊 IF: 19.118）
[25]Yang P., Yang G., Qi J., Liu J., Wang T., Yang Y., Wang X. （2019）：DUAPM: An Effective Dynamic Micro-blogging User Activity Prediction Model towards Cyber-Physical-Social Systems，IEEE Transactions on Industrial Informatics，16(8): 5317 - 5326 (SCI JCR一區 中科院一區top 期刊 IF: 12.3)
[26]Yang P., Liu J., Qi J., Yang Y., Wang Q. and Lv Z.,(2019): Comparison and Modelling of Country-Level Micro-blog User Behaviour and Activity in Cyber-Physical-Social Systems using Weibo and Twitter Data, ACM Transactions on Intelligent Systems and Technology, 10（6）：Article 65 (SCI JCR一區 IF: 5)
[27]He Z., Nan F., Li X., Lee S., Yang Y.* (2019): Traffic Sign Recognition by Combining Global and Local Features Based on Semi-supervised Classification, IET Intelligent Transport Systems, 14(5) :323 - 330 (SCI JCR一區 IF: 2.496)
[28]Qi J., Yang P., Deng Z., Zhao Y., Waraich A., Yang Y., (2018): Examining Sensor-based Physical Activity Recognition and Monitoring for Healthcare Using Internet of Things: A Systematic Review, Journal of Biomedical Informatics, 87:138-153（SCI JCR一區 IF: 6.317）
[29]Xie C.，Cai H., Yang Y.*，Jiang L., Yang P.(2018): User Profiling in Elderly Healthcare Services in China: Scalper Detection, IEEE Journal of Biomedical and Health Informatics，22（6）：1796 - 1806. （SCI中科院一區top 期刊 IF: 7.7）
[30]Li J., Yang Y.*, Wang X., Zhao Z., Li T. (2018): A Novel Parallel Distance Metric-based Approach for Diversified Ranking on Large Graphs, Future Generation Computer Systems，88：79-91. （SCI JCR一區 中科院一區top 期刊 IF: 7.187）
[31]Lee S.; Xu Z.; Li T.; Yang Y.* (2018): A Novel Bagging C4.5 Algorithm Based on Wrapper Feature Selection for Supporting Wise Clinical Decision Making, Journal of Biomedical Informatics，78：144-155 （SCI JCR一區 IF: 6.317）
[32]Yang Y. and Jiang J. (2018): Bi-weighted ensemble via HMM-based approaches for temporal data clustering, Pattern Recognition，76：391-403. （SCI JCR一區 中科院一區top 期刊 IF:8 .518）
[33]Yang Y., Li Z., Wang W. and Tao D. (2017): An adaptive semi-supervised clustering approach via multiple density-based information, Neurocomputing，257：193-205. （SCI JCR一區 IF: 5.719）
[34]Yang Y. and Jiang J. (2016): Hybrid sampling-based clustering ensemble with global and local constitutions, IEEE Transactions on Neural Networks and Learning Systems，27(5):952-965. （SCI 中科院一區top 期刊 IF: 14.255）
[35]Yang Y. and Liu X. (2015): A Robust Semi-supervised Learning Approach via Mixture of Label Information，Pattern Recognition Letters， 68：15-21. （SCI JCR一區 IF: 3.756）
[36]Yang Y. and Jiang J. (2014): HMM-based hybrid meta-clustering ensemble for temporal data, Knowledge-based systems, 56：299-310. （SCI中科院一區top 期刊 IF: 8.139）
[37]Yang Y. and Chen K. (2011): Temporal data clustering via weighted clustering ensemble with different representations, IEEE Transactions on Knowledge and Data Engineering, 23(2): 317-320. （SCI CCF推薦期刊A類 IF: 9.235）
[38]Yang Y. and Chen K. (2011): Time Series Clustering via RPCL Ensemble Networks with Different Representations, IEEE Transactions on Systems, Man, and Cybernetics-Part C， 41(2): 190 – 199. （SCI JCR一區 ）
[39]代飛,趙文卓,楊云*,莫啟,李彤,周華 (2018)： BPMN 2.0編排的形式語義和分析, 軟件學報,29(4):1094-1114（EI，CCF推薦中文期刊A類）
[40]杜飛,楊云*,胡媛媛，曹麗娟 (2020)：深度共享集成網絡：一種簡單的共享式多層梯度補給方法, 軟件學報，31(7):2157–2168（EI，CCF推薦中文期刊A類）
[41]徐繼偉, 楊云* （2018）：集成學習方法:研究綜述，云南大學學報（自然科學版），19(6):1082-1092 （中文核刊）
[42]向鴻鑫，楊云* （2019）：不平衡數據挖掘方法綜述，計算機工程與應用，55(4):1-16（中文核刊，CCF推薦中文期刊C類）
[43]白揚；曹麗娟；胡媛媛；楊云* （2020）：基于特征補償的單目標跟蹤算法，計算機工程與設計，41（4）：1105-1112（中文核刊，CCF推薦中文期刊C類）
國際會議論文：
[1]. Fan X., Zhou M., Du F., Zhang Y., Qi J., Yang Y.* and Yang P.* (2024): Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression, IEEE International Conference on Bioinformatics and Biomedicine - BIBM 2024 (EI, CCF推薦會議B類)
[2]. Wang P., Yang Y.*, Yu Z. (2024): Multi-batch Nuclear-norm Adversarial Network for Unsupervised Domain Adaptation, The IEEE International Conference on Multimedia and Expo - ICME 2024 (EI, CCF推薦會議B類）
[3]. Wang R., Guo J., Wang J., He L. and Yang Y.* (2023): A Multi-Frame Rate Network with Attention Mechanism for Depression Severity Estimation, IEEE International Conference on Bioinformatics and Biomedicine - BIBM 2023 (EI, CCF推薦會議B類)
[4] Du F., Yang P., Jia Q., Nan F., Chen X., Yang Y.* (2023): Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions, The IEEE/CVF Computer Vision and Pattern Recognition Conference - CVPR 2023 (EI, CCF推薦會議A類)
[5] Zhou M., Zhang Y., Yang Y.*, Liu T., Yang P* (2023): Robust Temporal Smoothness in Multi-Task Learning, Thirty-Seventh AAAI Conference on Artificial Intelligence - AAAI 2023 (EI, CCF推薦會議A類)
[6] Yang G., Chen X., Zhang T., Wang S.*,Yang Y.*(2023): An Impact Study of Concept Drift in Federated Learning, IEEE International Conference on Data Mining - ICDM 2023 (EI, CCF推薦會議B類)
[7] Jia Q., Guo J., Du F., Yang P. and Yang Y.* (2022): A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images, IEEE International Conference on Bioinformatics and Biomedicine - BIBM 2022 (EI, CCF推薦會議B類)
[8] Zhou M., Zhang Y., Liu T., Yang Y.*, Yang P* (2022): Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression, ACM International Conference on Information and Knowledge Management - CIKM 2022 (EI, CCF推薦會議B類)
[9] Xiang H., Xie C., Zeng T., Yang Y* (2021):Multi-knowledge Fusion Network for Generalized Zero-shot Learning, IEEE International Conference on Multimedia and Expo -ICME2021 (EI，CCF推薦會議B類)
[10] Yang P., Qi J.*, Yang Y.*, Zhang S., Bi G.(2020): Rolling Interventions for Controlling COVID-19 Outbreaks in the UK to Reduce Healthcare Demand, ACM SIGKDD Conference on Knowledge Discovery and Data Mining-KDD2020 (EI，CCF推薦會議A類)
[11] Peng X., Wang X., Qi J., Yang Y.*, Li J., Yang P.(2020): Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life, The 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (EI，CCF推薦會議C類)
[12] Pang Z., Zhang S., Yang Y.*, Qi J., Yang P.(2020): Interoperable Multi-Modal Data Analysis Platform for Alzheimer’s Disease Management, The 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (EI，CCF推薦會議C類)
[13] Wang X., Bi G., Zhang Y., Qi J., Yang Y.*, Yang P.(2020): Visual Analysis of Biomarkers Selected via Multi- Task Learning for Modeling Alzheimer’s Disease Progression, The 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (EI，CCF推薦會議C類)
[14] Zeng T., Xiang H., Xie C., Yang Y., Liu Q. (2020): Zero-Shot Learning Based on Knowledge Sharing, International Conference on Computer Supported Cooperative Work in Design-CSCWD'2020 (EI，CCF推薦會議C類)
[15] Li Q., Yang Y*., Yang P. (2020): Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble, 2020 IEEE International Conference on Industrial Informatics. (EI)
[16] Xu J., Yang Y*., Yang P. (2020): Hybrid Label Noise Correction Algorithm for Medical Auxiliary Diagnosis, 2020 IEEE International Conference on Industrial Informatics. (EI)
[17] Fan J., Wang S., Yang P., Yang Y*. (2020): Multi-View Facial Expression Recognition based on Multitask Learning and Generative Adversarial Network, 2020 IEEE International Conference on Industrial Informatics. (EI)
[18]Yang L., Liu Q., Yang Y*., Yang P. (2020): Traffic sign classification via Semi-Supervised model with uncertain labels, 2020 IEEE International Conference on Industrial Informatics. (EI)
[19]Xiang H., Zeng T., Yang Y.*(2020): A novel sleep stage classification via combination of fast representation learning and semantic-to-signal learning, Proceedings of International Joint Conference on Neural Networks (IJCNN'2020). (EI，CCF推薦會議C類)
[20]Li X., Yang Y.*, Yang P.(2019): Multi-source ensemble transfer approach for medical text auxiliary diagnosis, The 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2019).(EI)
[21]Shao W., Yang P., Yang Y*. (2019): Ensemble of Receptive Fields for Training Central-Focused Convolutional Neural Networks, 2019 IEEE International Conference on Industrial Informatics. (EI)
[22]Wang X., Qi J., Yang Y., Yang P. (2019): A Survey of Disease Progression Modelling Techniques for Alzheimer's Diseases, 2019 IEEE International Conference on Industrial Informatics. (EI)
[23]Xie C., Liu D., Yang Y.*, Yang P., Yu B., Chen Z., Feng Q. and Peng J. (2019): Knowledge Graph based Internet of Things Middleware, 2019 IEEE International Conference on Industrial Informatics. (EI)
[24]Qi J., Yang Y., Peng X., Newcombe L., Simpson A., Yang P. (2019): Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS).（EI）
[25]Cao L., Liu Q., Yang Y.* (2019), An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder, 2019 IEEE/ACIS 18th International Conference On computer and Information Science. （EI）
[26]Zhao H., Liu Q. and Yang Y.* (2018), Transfer Learning with Ensemble of Multiple Feature Representations, 16th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications. （EI）
[27]Jia X., Wang S. and Yang Y.* (2018), Least-Squares Support Vector Machine for Semi-Supervised Multi-Tasking, 16th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications. （EI）
[28]Liu Q., Wang J, Zhang D., Yang Y. and Wang N.(2018), Text features extraction based on TF-IDF associating semantic, 2018 4th IEEE International Conference on Computer and Communications (EI)
[29]Wang Y., Zhang D., Yuan Y., Liu Q., Yang Y. (2018), Improvement of tf-idf algorithm based on knowledge graph, 16th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications. （EI）
[30]Chen F., Chai J.,Ren D., Liu X. and Yang Y.* (2017), Semi-Supervised Distance Metric Learning for Person Re-Identification, 2017 IEEE/ACIS 16th International Conference On computer and Information Science. （EI）
[31]Gan J.,Li A, Lei Q., Ren H. and Yang Y.* (2017), K-means based on Active Learning for Support Vector Machine, 2017 IEEE/ACIS 16th International Conference On computer and Information Science. （EI）
[32]Zhang D., Wang N., Yuan Y., Wang B. and Yang Y.* (2017). Fuzzy ontology induction in the cognitive model of ontology learning, 2017 IEEE/ACIS 16th International Conference On computer and Information Science, pp. 739-744. （EI）
[33]Yang Y. and Chen K. (2010): Unsupervised Learning via Iteratively Constructed Clustering Ensemble. Proceedings of International Joint Conference on Neural Networks (IJCNN'10), Barcelona, Spain. （EI, CCF推薦會議C類）
[34]Yang Y. and Chen K. (2006): An ensemble of competitive learning networks with different representations for temporal data clustering. Proceedings of International Joint Conference on Neural Networks (IJCNN'06), pp. 5759-5766, Vancouver, Canada. （EI, CCF推薦會議C類）
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